Sergio Cavalieri

3.9k citations
148 papers · 3k · h-index 25

Impact in

Papers in

Sergio Cavalieri

138 papers receiving 2.9k citations

Peers

Sergio Cavalieri
Comparison fields: 5 of 95
  • Industrial and Manufacturing Engineering 918
  • Marketing 649
  • Management Information Systems 521
  • Management Science and Operations Research 478
  • Strategy and Management 438
Replace Roberto Pinto with:
Roberto Pinto Italy
Zhibin Jiang China
Xinguo Ming China
Günther Seliger Germany
Marco Garetti Italy
Chao‐Ton Su Taiwan
Samir Lamouri A France
Li Pheng Khoo Singapore
Lucas Santos Dalenogare France
Patrick Dallasega Italy
Sergio Cavalieri relative to Roberto Pinto Italy Roberto Pinto's profile →
Citations per field
00.5×1.5×2.0×
Roberto Pinto · 1×
Citations per year

Countries citing papers authored by Sergio Cavalieri

Since Specialization
Citations

This map shows the geographic impact of Sergio Cavalieri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sergio Cavalieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Cavalieri more than expected).

Fields of papers citing papers by Sergio Cavalieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Cavalieri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sergio Cavalieri. The network helps show where Sergio Cavalieri may publish in the future.

Co-authors

The 25 scholars most cited alongside Sergio Cavalieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sergio Cavalieri Line = papers co-authored together Sergio Cavalieri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012328
2 2003315
3 2020194
4 2003180
5 2004134
6 2021120
7 2008110
8 2014103
9 2013101
10 200778
11 202077
12 201863
13 200055
14 200947
15 201546
16 199843
17 201238
18 201835
19 200334
20 201734

About Sergio Cavalieri

Sergio Cavalieri is a scholar working on Industrial and Manufacturing Engineering, Marketing, Management Information Systems, Management Science and Operations Research and Strategy and Management, having authored 148 papers that have together received 3k indexed citations. Recurring topics across this work include Service and Product Innovation (49 papers), Digital Transformation in Industry (33 papers), Scheduling and Optimization Algorithms (16 papers), Flexible and Reconfigurable Manufacturing Systems (12 papers), Reliability and Maintenance Optimization (11 papers), Supply Chain and Inventory Management (10 papers), Simulation Techniques and Applications (8 papers) and Quality and Supply Management (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (918 citations), Marketing (649 citations), Management Information Systems (521 citations), Management Science and Operations Research (478 citations) and Strategy and Management (438 citations). Sergio Cavalieri has collaborated with scholars based in Italy, Mexico and Brazil. Frequent co-authors include Giuditta Pezzotta, Roberto Pinto, Sergio Terzi, Chiara Cimini, Paolo Gaiardelli, Marco Macchi, Maria Caridi, Omid Jadidi, Saeed Zolfaghari and Fabiana Pirola. Their work appears in journals such as Computers in Industry, Production Planning & Control, Journal of Intelligent Manufacturing, International Journal of Production Research and International Journal of Production Economics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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